At a Glance
- Tasks: Transform complex data into actionable insights and craft compelling narratives.
- Company: Join a forward-thinking company focused on data-driven innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and advanced analytics.
- Why this job: Make a real impact by guiding strategic decisions with your data expertise.
- Qualifications: Proficiency in Python, R, SQL, and data visualisation tools like Tableau.
The predicted salary is between 50000 - 65000 € per year.
Requirements
- Proven expertise in Python, R, and advanced SQL (including window functions, CTEs) for data management and statistical analysis.
- Proficiency in crafting compelling data stories, leveraging visualization tools like Tableau to transform complex datasets into clear, impactful visualizations that resonate with diverse stakeholders.
- Proven capability in product opportunity sizing, metric development, and building robust metric trees to guide product strategy and evaluation.
- Mastery of advanced statistical analysis techniques, including hypothesis testing, various regression models, and time series analysis for forecasting.
- Solid understanding and practical experience with user activity tracking tools like Mixpanel, Amplitude, or similar product analytics platforms.
- Demonstrated ability to lead and optimize data wrangling and cleaning processes across multiple, complex projects.
- Experience in designing and analyzing experiments (e.g., A/B tests) to establish causal relationships and inform data-driven decision-making.
- Exceptional communication skills, capable of translating complex data insights into compelling narratives through data storytelling and high-impact presentations for both technical and non-technical audiences.
- A highly analytical mindset, consistently identifying and solving complex data challenges with innovative solutions that directly drive data-driven strategic decisions.
- Practical application of machine learning fundamentals to solve specific business problems through predictive modeling.
What the job involves
- As a Senior Data Analyst, you'll play a strategic role in transforming complex data into actionable insights that directly fuel our business growth and critical decisions.
- You'll craft compelling data narratives, turning raw information into valuable assets that guide product development and key strategic choices.
- Collaborating across teams, you'll uncover pivotal metrics and deep customer insights, empowering informed decisions throughout Planday.
- Through impactful visualizations and persuasive communication, you'll ensure these insights resonate with stakeholders at all levels.
- Finally, you'll leverage advanced analytical techniques to pioneer predictive modeling and automation, fostering a culture of data-driven innovation that is central to Planday's continued success.
- Collaborating cross-functionally with product, commercial, and leadership teams to define, track, and report critical metrics, delivering comprehensive customer insights.
- Designing and maintaining robust data models that transform raw data into high-value assets, ensuring accuracy and quality.
- Developing impactful, hands-on solutions, visualizations, and dashboards across the business, primarily utilizing Tableau to communicate insights effectively.
- Leveraging expert proficiency in Python, R, and SQL for advanced data manipulation, statistical analysis, and ensuring high data quality.
- Applying advanced statistical analysis techniques for summarizing, interpreting, and predicting data, alongside machine learning concepts for predictive modeling techniques.
- Translating complex data into clear, actionable narratives through compelling data storytelling, impactful presentations, and strong interpersonal communication.
Your success will show through:
- Exceptional data models that consistently deliver accurate, high-quality data assets, underpinning strategic initiatives.
- Proactive delivery of actionable insights and critical metrics that directly lead to informed decisions and tangible business improvements for product and commercial teams.
- Development and implementation of intuitive and highly impactful visualizations and dashboards that significantly elevate data-driven decision-making across Planday.
- Insights and recommendations that are consistently trusted and acted upon by product and commercial teams, stemming from rigorous analysis and robust data practices.
- Clear and compelling communication of complex data insights, fostering understanding and alignment among stakeholders, resulting in measurable positive business impact.
- Proactive problem-solving and innovative thinking in addressing data-related challenges, leading to continuous improvement and advancement in our analytical capabilities.
- Successful exploration and implementation of advanced analytical techniques, including machine learning, to unlock new opportunities and generate groundbreaking insights.
Senior Data Analyst in London employer: Deepstreamtech
At Planday, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Senior Data Analyst, you'll not only have the opportunity to work with cutting-edge tools and techniques but also enjoy a supportive environment that encourages professional growth and development. Our commitment to data-driven decision-making ensures that your insights will directly influence our strategic direction, making your role both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisations and analyses. Use platforms like GitHub or personal websites to make your work shine.
✨Tip Number 3
Prepare for interviews by practising common data-related questions. Think about how you’d explain complex concepts simply, as you’ll need to communicate effectively with both technical and non-technical audiences.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight how your skills align with our needs.
We think you need these skills to ace Senior Data Analyst in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your expertise in Python, R, and SQL right from the get-go. We want to see how you've used these tools in real projects, so don’t hold back on sharing specific examples!
Craft Compelling Narratives:When you describe your experience, think about how you can turn complex data into engaging stories. We love seeing how you’ve transformed raw data into insights that have made a difference in your previous roles.
Visualisation is Key:If you’ve worked with Tableau or similar tools, make sure to mention it! Show us how you’ve created impactful visualisations that helped stakeholders understand the data better. A picture is worth a thousand words!
Be Clear and Concise:While we appreciate detail, clarity is crucial. Keep your application straightforward and focused on how your skills align with our needs. Remember, we’re looking for someone who can communicate complex ideas simply!
How to prepare for a job interview at Deepstreamtech
✨Master the Technical Skills
Make sure you brush up on your Python, R, and SQL skills before the interview. Be ready to discuss specific projects where you've used these tools, especially focusing on advanced SQL techniques like window functions and CTEs. Practising coding challenges can also help you feel more confident.
✨Craft Your Data Stories
Prepare to showcase your ability to turn complex data into compelling narratives. Think of examples where you've used visualisation tools like Tableau to create impactful dashboards. Be ready to explain how your insights influenced decision-making in previous roles.
✨Showcase Your Analytical Mindset
Be prepared to discuss your experience with statistical analysis and machine learning. Have examples ready that demonstrate your ability to solve complex data challenges and how you've applied techniques like A/B testing or regression models to drive business decisions.
✨Communicate Effectively
Practice explaining your data insights in a way that resonates with both technical and non-technical audiences. Use clear, straightforward language and think about how you can make your presentations engaging. Remember, communication is key in ensuring your insights are understood and acted upon.
